7/23/2025, 12:00:00 AM ~ 7/24/2025, 12:00:00 AM (UTC)
Recent Announcements
Starting today, Amazon EC2 gives customers the option to skip the graceful operating system (OS) shutdown during an instance stop or terminate. Previously, customers waited by default for a graceful OS shutdown attempt when stopping or terminating their instances. Customers can now skip the graceful operating system shutdown attempt during stop or terminate for a faster application recovery when instance data preservation is not critical. For example, customers with high-availability clusters where instance data is replicated elsewhere can skip the graceful OS shutdown during failover, enabling faster instance state transitions. Customers can enable the option to skip the graceful OS shutdown when stopping or terminating instances using the AWS CLI or EC2 Console. To learn more, please refer to our documentation here for StopInstances and here for TerminateInstances.
AWS IoT SiteWise Query API adds advanced SQL support and ODBC driver
We are announcing major enhancements to the AWS IoT SiteWise Query API (ExecuteQuery) to support a suite of advanced SQL capabilities, empowering customers to perform sophisticated data analysis on their industrial data and business intelligence tool integration. Customers can now leverage advanced SQL operations including string manipulation (such as pattern matching and substring extraction), aggregation functions (e.g., grouping, SUM, COUNT, and more on telemetry streams), multi-field sorting, and robust datetime operations for time-based analytics. Furthermore, we are introducing an ODBC driver, enabling direct integration with BI tools like Tableau, Power BI, and Excel for enhanced data visualization and reporting on operational data—without custom development or middleware.\n These enhancements enable customers to execute advanced queries such as “SELECT avg(rts.double_value), a.asset_name FROM raw_time_series rts, asset a, asset_property ap WHERE a.asset_name LIKE ‘Boiler%’ AND ap.property_name = ‘Temperature’ AND rts.event_timestamp > TIMESTAMP ‘2025-04-15 09:00:00’ AND rts.event_timestamp < TIMESTAMP ‘2025-04-15 17:00:00’ GROUP BY a.asset_name ORDER BY 1” to analyze average boiler temperatures during business hours. This helps streamline the path from industrial data collection to actionable business insights. This enhanced feature is available in the following AWS Regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Ireland), Europe (Frankfurt), US East (N. Virginia), US West (Oregon). The ODBC driver is compatible with Windows environments. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and analyze data from industrial equipment at scale to help you make data-driven decisions. To learn more about the enhanced Query API and download the ODBC driver, please visit the user guide.
Cost Optimization Hub now supports account names in optimization opportunities
Cost Optimization Hub, a feature within the Billing and Cost Management Console, announces support for account names in cost optimization opportunities. This enhancement allows you to use account names to easily view, filter, consolidate, and prioritize cost optimization recommendations.\n This launch simplifies the process of identifying and managing cost optimization opportunities across complex account structures. With an account name, you can now quickly recognize which accounts are associated with specific recommendations, making it easier to take action on cost-saving opportunities. This enhancement is particularly valuable for large organizations and AWS Partners managing multiple accounts, as it streamlines the cost optimization workflow and enhances visibility into potential savings across the entire account portfolio. Account names are now available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub is supported.
Amazon EC2 P6-B200 instances are now available in US East (N. Virginia)
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in US East (N. Virginia) region. These instances offer up to 2x performance compared to P5en instances for AI training and inference.\n P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs.
P6-B200 instances are now available in the p6-b200.48xlarge size in the following AWS Region: US East (N. Virginia, Ohio) and US West (Oregon).
To learn more about P6-B200 instances, visit Amazon EC2 P6 instances.
Amazon RDS for Oracle zero-ETL integration with Amazon Redshift
Amazon RDS for Oracle zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) to analyze petabytes of transactional data in Amazon Redshift without complex data pipelines for extract-transform-load (ETL) operations. Within seconds of data being written to Amazon RDS for Oracle, the data is replicated to Amazon Redshift. With Zero-ETL integrations, analyzing data from Amazon RDS for Oracle is simple, helping you derive holistic insights across many applications. \n With this launch, you can use the AWS management console, API, CLI, and AWS CloudFormation to create and manage zero-ETL integrations between RDS for Oracle and Amazon Redshift. You can choose specific pluggable databases (PDBs) to selectively replicate them. In addition, you can choose specific tables and tailor replication to your needs. RDS for Oracle zero-ETL integration with Redshift is available with Oracle Database versions 19c in supported AWS Regions. To learn more, referAmazon RDS and Amazon Redshift documentation.
Amazon RDS for PostgreSQL zero-ETL integration with Amazon Redshift is now generally available
Amazon Relational Database Service (Amazon RDS) for PostgreSQL zero-ETL integration with Amazon Redshift is now generally available, enabling near real-time analytics and machine learning (ML) on petabytes of transactional data. With this launch, you can create multiple zero-ETL integrations from a single Amazon RDS database, and you can apply data filtering for each integration to include or exclude specific databases and tables, tailoring replication to your needs. You can also use AWS CloudFormation to automate the configuration and deployment of resources needed for zero-ETL integration.\n Zero-ETL integrations make it simpler to analyze data from Amazon RDS to Amazon Redshift by removing the need for you to build and manage complex data pipelines and helping you derive holistic insights across many applications. Within seconds of data being written to Amazon RDS for PostgreSQL, the data is replicated to Amazon Redshift. Using zero-ETL, you can enhance data analysis on near real-time data with the rich analytics capabilities of Amazon Redshift, including integrated ML, Spark support, and materialized views. This zero-ETL integration is available for all RDS for PostgreSQL versions 15.4 and later, Amazon Redshift Serverless, and Amazon Redshift RA3 instance types in supported AWS Regions. To learn more about this zero-ETL integration, visit the documentation for Amazon RDS and Amazon Redshift.
Amazon EC2 Instance Connect and EC2 Serial console available in additional regions
Starting today, Amazon EC2 Instance Connect and EC2 Serial console are also available in AWS Asia Pacific (Malaysia), AWS Asia Pacific (Thailand) and AWS Mexico (Central) regions.\n EC2 Instance Connect allows customers to connect to their instances over Secure Shell (SSH) with a single click from the EC2 console and single command from the AWS CLI. Customers can manage access to instances with AWS Identity and Access Management (IAM) policies as well as generate one-time use SSH keys enhancing the security posture for connectivity. EC2 Serial Console provides customers a simple way to interactively troubleshoot boot and network connectivity issues by establishing a connection to the serial port of an instance. EC2 Serial Console is ideal for situations where you are unable to connect to your instance via normal SSH or RDP connections. To get started, you can navigate to the Amazon EC2 console, select the instance you want to connect to and with a single click connect using EC2 Serial Console or Instance Connect. You can also connect from the AWS CLI or API. To learn more see our documentation.
Amazon ECR now supports exceptions to tag immutability
Amazon Elastic Container Registry (ECR) now allows you specify exceptions to image tag immutability setting. You can now provide a list of tag filters to exempt certain tags from the tag immutability setting, allowing you to enforce immutability for most tags while retaining flexibility for others.\n ECR image tag settings allows you to control whether repository tags can be overwritten. You may set image tags to either mutable which allows tags to be overwritten, or immutable which prevents tags from being overwritten. With ECR support for exception to tag immutability, ECR can now enforce mutability or immutability for all tags except certain tags based on the list of tag filters that you specify. For example, you can now enforce immutability for production tags while retaining flexibility for certain tags such as latest to remain mutable for development, testing, and automation workflows. ECR’s support for exception to tag mutability and immutability is generally available in all AWS commercial and AWS GovCloud (US) Regions at no additional cost. For more details, visit our documentation.
AWS Blogs
AWS Japan Blog (Japanese)
- Detailed explanation: Amazon EKS hyperscale cluster
- Optimizing vector searches with Amazon S3 Vectors and Amazon OpenSearch Service
AWS Cloud Operations Blog
AWS Big Data Blog
AWS Compute Blog
AWS for Industries
Artificial Intelligence
- Customize Amazon Nova in Amazon SageMaker AI using Direct Preference Optimization
- Multi-tenant RAG implementation with Amazon Bedrock and Amazon OpenSearch Service for SaaS using JWT
- Enhance generative AI solutions using Amazon Q index with Model Context Protocol – Part 1
AWS Security Blog
Open Source Project
AWS CLI
Amplify for JavaScript
- tsc-compliance-test@0.1.90
- 2025-07-23 Amplify JS release - aws-amplify@6.15.4
- @aws-amplify/storage@6.9.4
- @aws-amplify/pubsub@6.1.60
- @aws-amplify/predictions@6.1.60
- @aws-amplify/notifications@2.0.85
- @aws-amplify/interactions@6.1.26
- @aws-amplify/geo@3.0.85
- @aws-amplify/datastore-storage-adapter@2.1.87
- @aws-amplify/datastore@5.0.87